The Silicon &Artificial Intelligence (SAI) lab focuses on exploring the field where deep learning and hardware architecture intersect. Our primary goal is to co-optimize AI algorithms and the underlying hardware architecture to enhance the implementation of AI. Additionally, we leverage AI as a powerful tool to streamline the hardware design process.


If you are interested in working with us, please send your CV to

Ph.D. Students

I am hiring multiple PhD students starting Fall 2024 to work on the following two areas:

AI algorithm:

  • Efficient DNN inference/finetuning, parameter efficient finetuning.
  • AI privacy
  • Multi-agent reinforcement learning

AI hardware:

  • AI accelerator for DNN training and inference.
  • In(Near)-mem computing


If you are NYU students and interested in working with me, please contact me directly:)


I am also taking undergrads and interns (can be remote) to work on the above two areas:)